Moyu6027 Deepseek MCP Server

🚀 DeepSeek MCP Server

Enhance Claude's inference capabilities by integrating the advanced inference engine of DeepSeek R1, enabling it to tackle complex inference tasks.

🚀 Quick Start

This server enhances Claude's ability to handle complex inference tasks by leveraging the inference capabilities of the DeepSeek R1 model.

✨ Features

Advanced Inference Capabilities

• Support complex multi-step inference tasks.
• Designed to generate precise, efficient, and well - considered responses.
• Utilize the API of Infini - AI.

Role Division

• DeepSeek R1 (Brain) as an Advanced Inference Planner:
  • Develop multi - step logical analysis strategies.
  • Build cognitive frameworks.
  • Evaluate confidence and uncertainty.
  • Monitor inference quality.
  • Detect boundary cases and deviations.
• Claude (Executor) to Implement Inference Plans:
  • Execute structured analysis.
  • Implement predetermined strategies.
  • Provide final responses.
  • Handle user interactions.
  • Manage system integration.

📦 Installation

Prerequisites

• Python 3.12 or higher.
• uv package manager.
• INFINI_API_KEY For DeepSeek (Register at Infini - AI).

1. Clone the repository

   git clone https://github.com/moyu6027/deepseek-MCP-server.git
   cd deepseek-MCP-server
   

2. Ensure UV is installed

   • Windows: Run the following command in PowerShell:

     powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
     

   • Mac: Run the following command:

     curl -LsSf https://astral.sh/uv/install.sh | sh
     

3. Create a virtual environment

   uv venv
   source .venv/bin/activate
   

4. Install dependencies

   uv add "mcp[cli]" httpx
   

5. Set the API key

   echo "INFINI_API_KEY=your_key_here" > .env
   

6. Install the server

   mcp install server.py -f .env
   

7. Configure the MCP server Edit the claude_desktop_config.json file and add the following configuration:

   {
       "mcpServers": {
           "deepseek-mcp": {
               "command": "uv",
               "args": [
                   "--directory",
                   "PATH_TO_DEEPSEEK_MCP_SERVER",
                   "run",
                   "server.py"
               ]
           }
       }
   }
   

8. Run the server

   uv run server.py
   

💻 Usage Examples

Start the server

The server will start automatically when used with Claude Desktop. Make sure Claude Desktop is configured to detect the MCP server.

Example workflow

1. Claude receives a query that requires advanced inference.
2. The query is forwarded to DeepSeek R1 for processing.
3. DeepSeek R1 returns structured inference content wrapped in <ant_thinking> tags.
4. Claude integrates the inference results into the final response.

📄 License

This project is licensed under the MIT License. For more details, please refer to the LICENSE file.